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Journal of Degraded and Mining Lands Management
Published by Universitas Brawijaya
ISSN : 2339076X     EISSN : 25022458     DOI : -
Journal of Degraded and Mining Lands Management is managed by the International Research Centre for the Management of Degraded and Mining Lands (IRC-MEDMIND), research collaboration between Brawijaya University, Mataram University, Massey University, and Institute of Geochemistry, Chinese Academy of Sciences-China Papers dealing with result of original research, and critical reviews on aspects directed to the management of degraded and mining lands covering topography of a landscape, soil and water quality, biogeochemistry, ecosystem structure and function, and environmental, economic, social and health impacts are welcome with no page charge
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Articles 38 Documents
Search results for , issue "Vol. 12 No. 3 (2025)" : 38 Documents clear
Heavy metals in water and sediment of Way Ratai River due to small-scale gold mining activities in Pesawaran Regency, Lampung Province (Part I: mercury, cyanide, lead, and arsenic) Istighfarah, Vedelya; Dermiyati, Dermiyati; Rinawati; Prasetia, Hendra; Fasya, Muhammad Rizki Firdaus
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7389

Abstract

The use of mercury and cyanide in the gold separation process at small-scale gold mining in Pesawaran Regency can carry mercury (Hg), cyanide (CN-), lead (Pb), and arsenic (As) as other heavy metals that are also harmful to the environment. This study aimed to determine the concentration and distribution of some heavy metals (Hg, CN-, Pb, As) found in the water and sediment of the Way Ratai River. Water and sediment samples were taken at 5 points along the Way Ratai River. The heavy metal analysis method used a Mercury Analyzer, Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), Atomic Absorption Spectrophotometry, and X-ray fluorescence. Mapping the distribution of heavy metal concentrations uses ArcGIS with the Inverse Distance Weighting (IDW) method. The results showed that the average concentration of Hg in water was 0.006 ppm, As was 0.023 ppm, and CN- was 0.003 ppm; Pb was not detected in river water. Meanwhile, in the river sediments, the average Hg was 11.83 ppm, As was 449.10 ppm, Pb was 450.88 ppm, and CN- was 0.38 ppm. It can be concluded that the concentration of heavy metals in the sediment of Way Ratai River is in the high category; the heavy metal content in river sediment is higher than that in water. For this reason, it is necessary to manage waste from gold processing activities, such as coagulation and absorption, to reduce the potential for environmental pollution.
Landslide susceptibility mapping for hazard management along Pakistan’s Balakot-Naran Route Ullah, Aman; Ramzan, Muhammad; Iqbal, Javed
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7401

Abstract

Landslides represent a significant hazard worldwide, leading to substantial loss of life and property. In Pakistan’s Balakot Valley, severe landslides frequently disrupt key roadways, particularly along the Balakot-Naran route, which serves as a crucial artery for tourism—the region’s primary economic activity. This study aimed to create a high-resolution landslide susceptibility map for a 457 km² area along this road, where landslides are driven by factors such as intense rainfall, weak geological formations, seismic activity, and slope destabilization due to road construction. Using Geographic Information Systems (GIS) and remote sensing, we analyzed nine critical landslide-predictive factors: slope, aspect, lithology, land cover/land use, plan curvature, profile curvature, and proximity to faults, roads, and streams. Our methodology applied the frequency ratio (FR) model to 80% of the landslide inventory data for model construction, while 20% of the inventory was reserved for validation. The resulting susceptibility map, classified into low, moderate, high, and very high-risk zones using the natural breaks method in ArcGIS, indicates that slope gradient, lithology, land cover, and stream proximity are the primary contributors to landslide occurrence in this area. Model performance metrics demonstrate high predictive accuracy, with a success rate of 0.93 and a prediction rate of 0.96. The generated susceptibility map provides a robust tool for hazard management, offering valuable insights for targeted mitigation strategies and sustainable infrastructure development in this landslide-prone region. This study advanced landslide susceptibility mapping by integrating high-impact geospatial factors with an innovative, validated FR approach, supporting safer, data-driven land use planning and disaster preparedness.
Forecasting the long-term impacts of land use and cover changes on runoff coefficient and flood hydrograph: a case study of the Upper Citanduy Basin, Indonesia Irawan, Pengki; Setiawan, Junaedi
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7417

Abstract

Land use and land cover (LULC) change significantly affects hydrological processes in ungauged basins, where data limitations hinder accurate analysis and modeling. This study assesses the long-term impacts of LULC changes on the runoff coefficient (RC) and flood hydrograph in the Upper Citanduy Basin, Indonesia, using data from 2014, 2019, and 2024 to project future scenarios through 2029. The Cellular Automata-Artificial Neural Network (CA-ANN) model through the MOLUSCE plugin in QGIS was used for LULC forecasting, achieving high accuracy (Kappa>0.9). The results indicate a 16.97% increase in the composite runoff coefficient from 2014 to 2029, primarily driven by the conversion of agricultural land into built-up areas. This increase was most pronounced in the early years, stabilizing as urbanization and land degradation effects moderated. HEC-HMS simulations using Synthetic Unit Hydrograph (SUH) methods, including Nakayasu, Snyder, and Clark SUHs, revealed that peak discharges for lower return periods (RP) in the future could approach or exceed those of higher RPs in the past. For instance, the 5-year RP peak discharge in 2029 (2.137 m³ s?¹) closely resembles the 25-year RP in 2019 (2.165 m³ s?¹). Similarly, the 5-year RP in 2024 (1.794 m³ s?¹) is comparable to the 10-year RP in 2014 (1.768 m³ s?¹), while the 5-year RP in 2019 (1.727 m³ s?¹) is nearly the same as the 2-year RP in 2029 (1.734 m³ s?¹). These findings underscore the need for sustainable land-use planning and adaptive flood management to mitigate hydrological impacts in ungauged basins.
Soil loss estimation using the Revised Universal Soil Loss Equation and geospatial techniques in the Upper Suvarnavathy River Basin, Karnataka, India Sasi, M; Anil, Sawant Sushant; Deka, Dhanjit
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7457

Abstract

Soil erosion occurs gradually when the impact of water or wind detaches and removes soil particles, causing the soil to deteriorate. Because of its adverse effects on biomass and economic production, soil degradation is a worldwide environmental issue. It has a wide-ranging impact on agricultural land and reservoir sedimentation, with disastrous consequences. The Upper Suvarnavathy (Honhole) river basin, Chamarajanagar district, a southern tributary of the Cauvery River of Karnataka, India, was studied to estimate average annual soil loss for a period of 63 years. Remote sensing and GIS approaches combined with the RUSLE model were employed to estimate the soil loss in the study area. To anticipate sheet and rill erosion, the Revised Universal Soil Loss Equation (RUSLE) model considers various factors, such as precipitation (rain) erosivity, soil erodibility, topographic factor, cropping management factor, and support practice factor. The study revealed that the soil erosion in the study area ranges between 0 to 6208.875 t ha?1, and the average has been estimated to be 522.30 t ha?1. This research also determined which RUSLE factor has played a significant role in soil degradation in the study area. The findings will undoubtedly aid in implementing soil management and conservation practices in critical erosion areas in this basin.
Assessment of groundwater contamination risk and seasonal dynamics of microelement composition in groundwater: A case study from the Karadag State Nature Reserve, Crimean Peninsula Pham, Cam Nhung; Lapchenko, Vladimir; Lapchenko, Elena; Tabunshchik, Vladimir
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7443

Abstract

The chemical composition of the water was determined to obtain a general picture of the geographical distribution of elements and identify the peculiarities of the elemental and chemical composition of groundwater. The analysis of heavy metal concentrations in the four wells, situated within the territory of the Karadag Reserve, revealed seasonal variations. An increase in macroelement concentrations was observed during winter, while their levels decreased during summer. The concentrations of microelements such as B (boron) and Fe (iron) decreased with increasing distance from the sea during winter and increased during summer. The analysis also identified significant exceedances of the maximum permissible concentrations (MPC) for heavy metals Li, B, Mg, Ca, Fe, Ni, and Br, as well as occasional exceedances of sodium and manganese concentrations. For all elements, the contamination factor (CF) was calculated. Based on the CF values, the pollution load index (PLI) was calculated to assess the degree of pollution by the studied elements. The results indicate the absence of pollution in the investigated area, both in summer and winter periods. To determine the degree of anthropogenic pollution by elements, the geoaccumulation index (Igeo) was calculated. Most of the studied elements do not indicate pollution either in summer or winter. However, the Igeo values for calcium indicate a moderate level of pollution during summer and a higher level during winter. The overall analysis of the results suggests that there is no serious groundwater pollution issue in the studied area by the analyzed elements.
Mapping peat thickness and groundwater level using a portable electromagnetic instrument in Indragiri Hilir, Riau, Indonesia Sutikno, Sigit; Yusa, Muhamad; Hendri, Andy; Kusairi, Muhammad; Muhammad, Ahmad; Qomar, Nurul
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7431

Abstract

Peatlands play a crucial role in the global carbon cycle, water regulation, biodiversity conservation, research, education, and recreation. Peat thickness and groundwater level (GWL) are key parameters for optimizing these peatland functions; therefore, mapping peat thickness and GWL quickly, accurately, and cost-effectively is essential. This study applied a geophysical survey using a portable electromagnetic instrument to estimate peat thickness and GWL. The instrument, which is simple to operate and wirelessly connected to a mobile phone, enables rapid measurement and visualization of subsurface resistivity. A research site in Indragiri Hilir Regency, Riau Province, Indonesia, was picked up as an experiment site to test the instrument. Three transects with measurement path lengths of 100 m each and a distance of about 1.4 km each were designed for the experiment. To validate the resistivity data against subsurface stratigraphy, core sampling was conducted at three points along each transect. The results demonstrated that the electromagnetic method effectively identified the interface between peat soil and the underlying marine clay. Analysis revealed that the resistivity values for unsaturated peat, saturated peat, and saturated clay were 68-81 ohm m, 75-96 ohm m, and 82-115 ohm m, respectively. These findings suggest that GWL mapping and peat stratigraphy characterization can be accurately achieved using this method.
Detecting soil salinity dynamics using Landsat 8 OLI/TIRS for sustainability land management in Pekalongan City, Central Java, Indonesia Primadipta, Indira Wido; Saepuloh, Asep; Rachmayani, Rima; Ghazali, Mochamad Firman; Sahana, Muhammad Irham
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7469

Abstract

Soil salinization occurs when salts accumulate in the soil, damaging its structure and reducing fertility. Currently, about 20% of cultivated land is affected by salinity, and it is estimated that this figure could rise to 50% by 2050 if no preventive actions are taken. In Indonesia, saline soils are predominantly found in coastal regions, where seawater intrusion and tidal flooding are common. Pekalongan, a coastal city in Central Java with shallow groundwater, is particularly susceptible to salinization, as evidenced by increased groundwater salinity affecting a total area of 23.03 km². This study utilized Landsat 8 OLI/TIRS imagery to develop an enhanced soil salinity index for monitoring soil salinity dynamics in Pekalongan City from 2014 to 2024. Seven salinity indices were used to estimate soil salinity, and statistical analysis was conducted to examine the relationship between electrical conductivity (EC) and salinity indices derived from satellite imagery. A tailored soil salinity index, termed the modified Vegetation Soil Salinity Index (mVSSI), was developed, achieving a strong correlation with field data (R² = 0.81). The analysis showed notable changes in non-saline soil areas, which expanded from 3.32 km² in 2014 to 9.64 km² in 2024, likely due to efforts to mitigate seawater intrusion and tidal flooding. This study provides valuable insights into the dynamics of soil salinity and offers a reliable tool for monitoring and managing salinity in coastal regions, contributing to the broader goal of sustainable land management.
Impact of land use conservation of swampy lowland urban areas on people's awareness and perception Yusuf, Maulana; Damiri, Nurhayati; Saptawan, Ardiyan; Aslamiah, Nur; Usman, Fathoni; Affandi, Ahmad; Rahim, Supli E; Yunardy, Syafrul
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7483

Abstract

This study investigated how changes in land use impact people's knowledge and perceptions, notably the transformation of wetlands into residential and industrial sectors in urban low-lying areas. This transformation's accelerating urbanization is a worldwide phenomenon fueled by infrastructural growth and urban growth. This study was carried out using a mixed-methods approach that includes surveys, interviews, and spatial analysis. This research showed a complicated link between a change in land use and how people perceive it. First, turning low-lying swamps into cities frequently changes the hydrological dynamics, raising the risk of floods and other water-related risks. As a result, people who live in transformed areas tend to develop more conscious of these environmental dangers. However, this increased awareness may not always result in proactive mitigating actions due to resource shortages and poor urban planning. Second, socio-economic position and proximity to redeveloped regions affect how locals view urban growth. While some regard land use conversion adversely owing to habitat loss and potential health hazards related to pollution and sanitation difficulties, others see it as a chance for economic expansion and improved infrastructure. Lastly, minimizing the negative effects of land use shifts depends on efficient urban planning and community involvement. People's perceptions are more likely to be positive when they participate in decision-making processes and access information and resources, increasing engagement in sustainable urban development activities.
Detection and analysis of vegetation cover changes in the city of M'Sila, Algeria, between the years 1990-2023 using the NDVI (Normalized Difference Vegetation Index) Dogha, Mohamed Soufiane; Faid, Bachir
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7501

Abstract

This study aimed to monitor and evaluate the change in the vegetation cover of the city of M'Sila based on calculating the Normalized Difference Vegetation Index (NDVI) linked to Landsat satellite image data for the years 1990-2023 and measuring the change for approximately every 10 years. The region was classified based on the index values ??into two categories: an area free of vegetation cover and an area containing vegetation cover. The results showed a difference in the area and density of vegetation cover by increasing the area of ??vegetation cover at different rates of change according to the three periods, respectively 45.98%, 6.66%, and 6.87%, which led to an increase in the area classified as vegetation cover according to the three periods 1.89 km2, 0.4 km2, 0.44 km2, with an average annual change estimated at 0.19 km2/year, 0.04 km2/year, 0.03 km2/year, where the percentage of vegetation cover in 1990 was about 8.70% of the total area of ??the city, while in 2023 it increased to record a percentage of 14.48%. This study showed the possibility of using remote sensing techniques and geographic information systems to provide valuable basic spatial information to support monitoring of vegetation cover, identifying areas exposed to environmental risks and threats, and thus developing strategies for adaptation and conservation of the ecosystems and natural resources of the study area.
Activation of eggshell powder (ESP) using palm oil fuel ash (POFA) and its application in removing lead and cadmium from river water Badariah, Badariah; Jailani, M Syahran; Heraningsih, Sarah Fiebrina; Yulistian, Saldi; Rainiyati, Rainiyati; Purwati, Indah
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7607

Abstract

Contamination by heavy metals, especially lead (Pb) and cadmium (Cd), presents considerable environmental and public health hazards. This study examined the efficacy of a composite adsorbent composed of eggshell powder (ESP) and Palm Oil Fuel Ash (POFA) in eliminating Pb and Cd from polluted river water. BET analysis indicated that the ESP-POFA composite demonstrated enhanced surface area and pore volume post-activation, achieving a peak surface area of 38.79 m²/g at a 1:0.75 ESP:POFA ratio. The peak adsorption efficiency for Pb was 87.16%, achieved at a 1:0.25 ESP: POFA ratio after 180 minutes of agitation, whereas Cd adsorption peaked at 94.17% at a 1:0.75 ratio with the same agitation time. The adsorption capacity fluctuated according to the ESP: POFA ratio, with Pb attaining 0.00038 mg/g at the 1:0.25 ratio and Cd achieving 0.00099 mg/g at the 1:0.75 ratio. The findings demonstrate that the ESP-POFA composite is a sustainable and economical solution for water treatment and is exceptionally proficient in removing cadmium from river water. These findings endorse the composite's potential for extensive water treatment applications; nevertheless, additional modification is necessary to enhance Pb adsorption capability.

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